We present the developed framework that leverages recent advances in Implicit Neural Representations (INR) [1]}, [2]}, [3]}, [4]} and draws inspiration from mesh-free methods for PDE solving. We first start by giving a mathematical definition of a PDE. Next, we showcase the proposed "MAgNet" and derive two variants: A grid-based architecture and a graph-based one.
